tfm.core.actions.RecoveryAction
Train action to recover from loss blowup.
tfm.core.actions.RecoveryAction(
checkpoint_manager: tf.train.CheckpointManager
)
Checks the loss value by the given threshold. If applicable, recover the
model by reading the checkpoint on disk.
Methods
__call__
View source
__call__(
_
)
Recovers the training by triggering checkpoint restoration.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-02-02 UTC.
[null,null,["Last updated 2024-02-02 UTC."],[],[]]